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EMNLP
2007

Online Large-Margin Training for Statistical Machine Translation

9 years 3 months ago
Online Large-Margin Training for Statistical Machine Translation
We achieved a state of the art performance in statistical machine translation by using a large number of features with an online large-margin training algorithm. The millions of parameters were tuned only on a small development set consisting of less than 1K sentences. Experiments on Arabic-toEnglish translation indicated that a model trained with sparse binary features outperformed a conventional SMT system with a small number of features.
Taro Watanabe, Jun Suzuki, Hajime Tsukada, Hideki
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2007
Where EMNLP
Authors Taro Watanabe, Jun Suzuki, Hajime Tsukada, Hideki Isozaki
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